{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DPU example: Inception_v1\n",
    "----"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Aim/s\n",
    "* This notebooks shows an example of DPU applications. The application,as well as the DPU IP, is pulled from the official \n",
    "[Vitis AI Github Repository](https://github.com/Xilinx/Vitis-AI).\n",
    "\n",
    "## References\n",
    "* [Vitis AI Github Repository](https://www.xilinx.com/products/design-tools/vitis/vitis-ai.html).\n",
    "\n",
    "## Last revised\n",
    "* Mar 3, 2021\n",
    "    * Initial revision\n",
    "----"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Prepare the overlay\n",
    "We will download the overlay onto the board. \n",
    "\n",
    "The `load_model()` method will automatically prepare the `graph`\n",
    "which is used by VART."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "try {\n",
       "require(['notebook/js/codecell'], function(codecell) {\n",
       "  codecell.CodeCell.options_default.highlight_modes[\n",
       "      'magic_text/x-csrc'] = {'reg':[/^%%microblaze/]};\n",
       "  Jupyter.notebook.events.one('kernel_ready.Kernel', function(){\n",
       "      Jupyter.notebook.get_cells().map(function(cell){\n",
       "          if (cell.cell_type == 'code'){ cell.auto_highlight(); } }) ;\n",
       "  });\n",
       "});\n",
       "} catch (e) {};\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "try {\n",
       "require(['notebook/js/codecell'], function(codecell) {\n",
       "  codecell.CodeCell.options_default.highlight_modes[\n",
       "      'magic_text/x-csrc'] = {'reg':[/^%%pybind11/]};\n",
       "  Jupyter.notebook.events.one('kernel_ready.Kernel', function(){\n",
       "      Jupyter.notebook.get_cells().map(function(cell){\n",
       "          if (cell.cell_type == 'code'){ cell.auto_highlight(); } }) ;\n",
       "  });\n",
       "});\n",
       "} catch (e) {};\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pynq_dpu import DpuOverlay\n",
    "overlay = DpuOverlay(\"dpu.bit\")\n",
    "overlay.load_model(\"dpu_tf_inceptionv1.xmodel\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-heading alert-info\">\n",
    "Starting from Vitis AI 1.3, xmodel files will be used as the models\n",
    "instead of elf files.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Utility functions\n",
    "\n",
    "In this section, we will prepare a few functions for later use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import time\n",
    "import numpy as np\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first define a few useful preprocessing functions. These functions\n",
    "will make sure the DPU can take input images with arbitrary sizes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "_R_MEAN = 123.68\n",
    "_G_MEAN = 116.78\n",
    "_B_MEAN = 103.94\n",
    "\n",
    "MEANS = [_B_MEAN,_G_MEAN,_R_MEAN]\n",
    "\n",
    "def resize_shortest_edge(image, size):\n",
    "    H, W = image.shape[:2]\n",
    "    if H >= W:\n",
    "        nW = size\n",
    "        nH = int(float(H)/W * size)\n",
    "    else:\n",
    "        nH = size\n",
    "        nW = int(float(W)/H * size)\n",
    "    return cv2.resize(image,(nW,nH))\n",
    "\n",
    "def mean_image_subtraction(image, means):\n",
    "    B, G, R = cv2.split(image)\n",
    "    B = B - means[0]\n",
    "    G = G - means[1]\n",
    "    R = R - means[2]\n",
    "    image = cv2.merge([R, G, B])\n",
    "    return image\n",
    "\n",
    "def BGR2RGB(image):\n",
    "    B, G, R = cv2.split(image)\n",
    "    image = cv2.merge([R, G, B])\n",
    "    return image\n",
    "\n",
    "def central_crop(image, crop_height, crop_width):\n",
    "    image_height = image.shape[0]\n",
    "    image_width = image.shape[1]\n",
    "    offset_height = (image_height - crop_height) // 2\n",
    "    offset_width = (image_width - crop_width) // 2\n",
    "    return image[offset_height:offset_height + crop_height, offset_width:\n",
    "                 offset_width + crop_width, :]\n",
    "\n",
    "def normalize(image):\n",
    "    image=image/256.0\n",
    "    image=image-0.5\n",
    "    image=image*2\n",
    "    return image\n",
    "\n",
    "def preprocess_fn(image, crop_height = 224, crop_width = 224):\n",
    "    image = BGR2RGB(image)\n",
    "    image = resize_shortest_edge(image, 256)\n",
    "    image = central_crop(image, crop_height, crop_width)\n",
    "    image = normalize(image)\n",
    "    return image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will also define a few functions to calculate softmax and provide \n",
    "the output class after running a DPU task."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_softmax(data):\n",
    "    result = np.exp(data)\n",
    "    return result\n",
    "\n",
    "def predict_label(softmax):\n",
    "    with open(\"img/words.txt\", \"r\") as f:\n",
    "        lines = f.readlines()\n",
    "    return lines[np.argmax(softmax)-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Keep in mind that our original images are 640x480 so we need to preprocess them\n",
    "later to make sure it fits our model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "image_folder = 'img'\n",
    "original_images = [i for i in os.listdir(image_folder) if i.endswith(\"JPEG\")]\n",
    "total_images = len(original_images)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Use VART\n",
    "Now we should be able to use VART to do image classification."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "dpu = overlay.runner\n",
    "\n",
    "inputTensors = dpu.get_input_tensors()\n",
    "outputTensors = dpu.get_output_tensors()\n",
    "\n",
    "shapeIn = tuple(inputTensors[0].dims)\n",
    "shapeOut = tuple(outputTensors[0].dims)\n",
    "outputSize = int(outputTensors[0].get_data_size() / shapeIn[0])\n",
    "\n",
    "softmax = np.empty(outputSize)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can define a few buffers to store input and output data. They will be reused\n",
    "during multiple runs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "output_data = [np.empty(shapeOut, dtype=np.float32, order=\"C\")]\n",
    "input_data = [np.empty(shapeIn, dtype=np.float32, order=\"C\")]\n",
    "image = input_data[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remember that we have a list of `original_images`. \n",
    "We can now define a new function `run()` which takes the image index as \n",
    "the input, and calculate the softmax as the classification result.\n",
    "With the argument `display` set to `True`, the original image as well as the\n",
    "predicted label can be rendered.\n",
    "\n",
    "It is obvious that the range of `image_index` should be [0, `total_images`-1]."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def run(image_index, display=False):\n",
    "    preprocessed = preprocess_fn(cv2.imread(\n",
    "        os.path.join(image_folder, original_images[image_index])))\n",
    "    image[0,...] = preprocessed.reshape(shapeIn[1:])\n",
    "    job_id = dpu.execute_async(input_data, output_data)\n",
    "    dpu.wait(job_id)\n",
    "    temp = [j.reshape(1, outputSize) for j in output_data]\n",
    "    softmax = calculate_softmax(temp[0][0])\n",
    "    if display:\n",
    "        display_image = cv2.imread(os.path.join(\n",
    "            image_folder, original_images[image_index]))\n",
    "        _, ax = plt.subplots(1)\n",
    "        _ = ax.imshow(cv2.cvtColor(display_image, cv2.COLOR_BGR2RGB))\n",
    "        print(\"Classification: {}\".format(predict_label(softmax)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's run it for 1 image and print out the predicted label."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classification: bell pepper\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6b7f3b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "run(0, display=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also run it for multiple images as shown below. In this example\n",
    "we have only used 1 thread; in principle, users should be able to boost\n",
    "the performance by employing more threads."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Performance: 16.92420270045344 FPS\n"
     ]
    }
   ],
   "source": [
    "time1 = time.time()\n",
    "[run(i) for i in range(total_images)]\n",
    "time2 = time.time()\n",
    "fps = total_images/(time2-time1)\n",
    "print(\"Performance: {} FPS\".format(fps))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will need to remove references to `vart.Runner` and let Python garbage-collect\n",
    "the unused graph objects. This will make sure we can run other notebooks without\n",
    "any issue."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "del overlay\n",
    "del dpu"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----\n",
    "\n",
    "Copyright (C) 2021 Xilinx, Inc\n",
    "\n",
    "SPDX-License-Identifier: Apache-2.0 License\n",
    "\n",
    "----\n",
    "\n",
    "----"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
